Neural Processing Letters Q2 Unclaimed
Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the aforementioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications. Journal highlights: An international journal publishing state-of-the-art research results and innovative ideas on all aspects of artificial neural networks and machine learningCoverage includes theoretical developments, biological models, learning theory, applications, hardware implementation, and morePromotes timely exchange of information in the community of neural network researchers and usersHigh degree of author satisfaction: 91% of authors who answered a survey reported that they would definitely publish or probably publish in the journal again It has an SJR impact factor of 0,692.
Type: Journal
Type of Copyright:
Languages: English
Open Access Policy: Open Choice
Type of publications:
Publication frecuency: -


2290 €
Inmediate OANPD
Embargoed OA0 €
Non OAMetrics
0,692
SJR Impact factor65
H Index586
Total Docs (Last Year)778
Total Docs (3 years)27290
Total Refs2839
Total Cites (3 years)773
Citable Docs (3 years)3.68
Cites/Doc (2 years)46.57
Ref/DocOther journals with similar parameters
Progress in Brain Research Q2
Journal of Comparative Neurology Q2
European Journal of Neuroscience Q2
Reviews in the Neurosciences Q2
Frontiers in Neuroscience Q2
Compare this journals
Aims and Scope
Best articles by citations
A Learning Algorithm of CMAC Based on RLS
View moreLSISOM -A Latent Semantic Indexing Approach to Self-Organizing Maps of Document Collections
View moreExponential Periodicity of Continuous-time and Discrete-Time Neural Networks with Delays
View moreMinimizing the Cross Validation Error to Mix Kernel Matrices of Heterogeneous Biological Data
View moreMemory Consolidation and Forgetting During Sleep: A Neural Network
View moreEnsemble Learning for Chemical Sensor Arrays
View moreA Solution for the N-bit Parity Problem Using a Single Translated Multiplicative Neuron
View moreRough Neural Network of Variable Precision
View moreA Fuzzy-Related Thesaurus for Query Refinement
View moreInteraction with In-Vehicle Electronic Systems: A Complete Description of a Neural Network Approach
View moreEcological Neural Networks for Object Recognition and Generalization
View moreOn the Computational Power of Max-Min Propagation Neural Networks
View moreModelling the Belgian gas consumption using neural networks
View more
Comments